{"id":"W3106082711","doi":"","title":"Developing Digital Citizenship, Digital Literacy and Student Voice Using Social Media in K12","year":2020,"lang":"en","type":"article","venue":"EdMedia + Innovate Learning","topic":"Child Development and Digital Technology","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Citizenship; Social media; Digital literacy; Digital media; Literacy; Sociology; Digital native; Media literacy; Multimedia; Political science; Media studies; Pedagogy; Public relations; Computer science; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002133639,0.0003118537,0.00032478,0.0008484926,0.003553319,0.01008904,0.0009876047,0.001186232,0.007831502],"category_scores_gemma":[0.004715392,0.000347635,0.0004194863,0.0007859329,0.001760704,0.003335942,0.005842597,0.002151188,0.001329471],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003654826,"about_ca_system_score_gemma":0.005639879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03499537,"about_ca_topic_score_gemma":0.0750013,"domain_scores_codex":[0.9983349,0.0004374859,0.00008890845,0.0001685935,0.0001608549,0.0008092193],"domain_scores_gemma":[0.9967573,0.0009119303,0.0005714761,0.0001335136,0.0005991363,0.001026676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004900626,0.003219465,0.4589431,0.0001865338,0.00003976532,0.0006198237,0.4315389,0.0002133395,0.003418061,0.008687682,0.001269077,0.09137411],"study_design_scores_gemma":[0.00002398177,0.0009057133,0.2068855,0.0001836051,0.00005497462,0.0001971411,0.773638,0.0005142412,0.002801164,0.001342064,0.01339877,0.00005495695],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943318,0.00002838416,0.00006084119,0.0001411425,0.000003593441,0.00001192274,0.00001736912,0.000003412047,0.005401494],"genre_scores_gemma":[0.9954211,0.00004674244,0.0001939509,0.00004377958,0.000001113473,0.00001815176,0.00002000438,0.000003624313,0.004251575],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03499537,"threshold_uncertainty_score":0.06958336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05158205841630961,"score_gpt":0.3282235152155006,"score_spread":0.2766414567991911,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}